Status: published
This paper presents a real-time Gesture-Controlled Music Player that enables fully touchless operation using hand gestures. The system integrates OpenCV and MediaPipe to capture and interpret hand movements through a standard webcam, allowing users to control playback functions such as play, pause, next, previous, volume up, volume down, like, and dislike. Hand landmarks are detected and analyzed in real time, achieving an average accuracy of around 90% at 25–30 FPS under adequate lighting. Recognized gestures are mapped to predefined commands using a rule-based approach for fast and stable detection. Pygame Mixer manages audio playback, while a lightweight Flask backend links the recognition module to a React-based interface, displaying real-time gesture feedback and playback status. The system operates efficiently on standard hardware with minimal latency, requiring only a webcam. Experimental results demonstrate consistent gesture recognition and smooth interaction, validating the feasibility of AI-driven, vision-based interfaces for intuitive and contactless media control.
Keywords: Gesture Recognition, Computer Vision, Human-Computer Interaction, Touchless Control, Music Player